Triple
T3411861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steller sea lion |
E71914
|
entity |
| Predicate | maximumMaleBodyLength |
P49297
|
FINISHED |
| Object | about 3.3 meters |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 3.3 meters | Statement: [Steller sea lion, maximumMaleBodyLength, about 3.3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumMaleBodyLength Context triple: [Steller sea lion, maximumMaleBodyLength, about 3.3 meters]
-
A.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
-
B.
maximumCarapaceLength
Indicates the greatest measured length of an organism’s carapace within the described context or dataset.
-
C.
carapaceLengthMax
Indicates the maximum recorded or allowed length of an organism’s carapace in a given context.
-
D.
baleenLength
Indicates the length of an organism’s baleen structures, typically measured as a physical dimension.
-
E.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90a76288190b92ef3b26638cd47 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb23d23088190aeafe1379eae2eaa |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.